Entry Level Agentic AI Engineer Jobs
New grad agentic ai engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work building autonomous AI systems can matter more than a long resume. Most openings reflect a mix of on-site, remote, and hybrid settings across Technology & Software, Education, and Telecommunications, with employers like Exelixis, Qualcomm, and Accenture hiring at this level now.
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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location
Job is located in New York - Onsite Hybrid
Your Role
Key Responsibilities
Build GenAI applications using LLMs, RAG, agents, and tool-calling workflows.
Develop agentic solutions using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
Design and implement multi-agent workflows such as planner, retriever, executor, validator, and human-in-the-loop agents.
Build backend APIs using Python, FastAPI, Flask, REST APIs, and microservices.
Integrate AI agents with enterprise systems, databases, APIs, document repositories, and cloud services.
Implement document ingestion, embeddings, vector search, reranking, and retrieval pipelines.
Deploy and monitor GenAI applications using Docker, Kubernetes, CI/CD, and cloud platforms.
Support LLMOps including prompt/version management, model evaluation, monitoring, logging, and cost tracking.
Required Skills
Strong hands-on experience in Python development.
Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, Llama, or Mistral.
Hands-on experience with at least one agentic framework: LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
Good understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering.
Experience with vector stores such as OpenSearch, Pinecone, FAISS, Chroma, Weaviate, Milvus, Azure AI Search, or pgvector.
Knowledge of REST APIs, cloud deployment, Docker, CI/CD, and software engineering best practices.
Ability to work with structured and unstructured data including PDFs, documents, APIs, databases, and knowledge bases.
Preferred Skills
Experience with multi-agent orchestration, tool calling, memory, planning, reflection, and evaluation.
Exposure to MCP, Graph RAG, Neo4j, knowledge graphs, or entity extraction.
Knowledge of LLMOps tools such as LangSmith, MLflow, Phoenix, Ragas, TruLens, Arize, or OpenTelemetry.
Experience with AWS Bedrock/SageMaker, Azure OpenAI/AI Search, or GCP Vertex AI.
Understanding of AI guardrails, prompt injection prevention, PII masking, access control, and responsible AI.
Must-Have
Candidate should be able to clearly explain at least one end-to-end GenAI / Agentic AI project, including problem statement, architecture, tools used, deployment approach, evaluation method, and business impact.'
The base compensation range for this role in the posted location is: 118080 - 185760
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location
Job is located in New York - Onsite Hybrid
Your Role
Key Responsibilities
Build GenAI applications using LLMs, RAG, agents, and tool-calling workflows.
Develop agentic solutions using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
Design and implement multi-agent workflows such as planner, retriever, executor, validator, and human-in-the-loop agents.
Build backend APIs using Python, FastAPI, Flask, REST APIs, and microservices.
Integrate AI agents with enterprise systems, databases, APIs, document repositories, and cloud services.
Implement document ingestion, embeddings, vector search, reranking, and retrieval pipelines.
Deploy and monitor GenAI applications using Docker, Kubernetes, CI/CD, and cloud platforms.
Support LLMOps including prompt/version management, model evaluation, monitoring, logging, and cost tracking.
Required Skills
Strong hands-on experience in Python development.
Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, Llama, or Mistral.
Hands-on experience with at least one agentic framework: LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
Good understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering.
Experience with vector stores such as OpenSearch, Pinecone, FAISS, Chroma, Weaviate, Milvus, Azure AI Search, or pgvector.
Knowledge of REST APIs, cloud deployment, Docker, CI/CD, and software engineering best practices.
Ability to work with structured and unstructured data including PDFs, documents, APIs, databases, and knowledge bases.
Preferred Skills
Experience with multi-agent orchestration, tool calling, memory, planning, reflection, and evaluation.
Exposure to MCP, Graph RAG, Neo4j, knowledge graphs, or entity extraction.
Knowledge of LLMOps tools such as LangSmith, MLflow, Phoenix, Ragas, TruLens, Arize, or OpenTelemetry.
Experience with AWS Bedrock/SageMaker, Azure OpenAI/AI Search, or GCP Vertex AI.
Understanding of AI guardrails, prompt injection prevention, PII masking, access control, and responsible AI.
Must-Have
Candidate should be able to clearly explain at least one end-to-end GenAI / Agentic AI project, including problem statement, architecture, tools used, deployment approach, evaluation method, and business impact.'
The base compensation range for this role in the posted location is: 118080 - 185760
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Entry Level Agentic AI Engineer Jobs: Frequently Asked Questions
How do I get an entry level agentic ai engineer job?
Build a portfolio that shows you can design and deploy autonomous AI agents, even through personal projects or academic work. Employers hiring at this level look for hands-on experience with large language model frameworks, tool-use pipelines, and agent orchestration libraries like LangChain or AutoGen. Contributing to open-source agentic AI projects and documenting your work publicly gives you a concrete edge over candidates with no demonstrated output.
Which companies hire entry level agentic ai engineers?
Companies hiring entry level agentic ai engineers right now include Exelixis, Qualcomm, and Accenture, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a range of employers, including AI-native startups building agent products, mid-size technology companies integrating agentic workflows, and larger enterprises standing up new automation teams.
Are there remote entry level agentic ai engineer jobs?
Yes, though availability varies by employer and role type. About 17% of entry level agentic ai engineer openings are remote or hybrid as of November 2026, reflecting how broadly distributed AI engineering teams have become. Fully remote roles tend to favor candidates with self-directed project work and clear written communication, since onboarding and mentorship happen asynchronously.
Are these new grad agentic ai engineer jobs?
Yes, these listings include new grad, recent graduate, and junior agentic ai engineer roles alongside other entry level positions. A new grad-friendly posting typically welcomes zero to two years of experience and counts internships, capstone projects, or a strong personal portfolio toward the requirement. If a posting lists a degree in computer science, AI, or a related field without demanding years of industry experience, it is a realistic target for a new grad.
Which industries hire the most entry level agentic ai engineers?
Entry Level agentic ai engineer roles concentrate in Technology & Software, Education, and Telecommunications, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at the entry level because they are actively building the first generation of production-grade agentic systems and need engineers who can grow with the technology rather than candidates who already have years of legacy tooling experience.